Project - 3

CONTEXT: A telecom company wants to use their historical customer data to predict behaviour to retain customers. You can analyse all relevant customer data and develop focused customer retention programs.

PROJECT OBJECTIVE: Build a model that will help to identify the potential customers who have a higher probability to churn. This help the company to understand the pinpoints and patterns of customer churn and will increase the focus on strategising customer retention.

1. Import and warehouse data:

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2. Data cleansing

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3. Data analysis & visualisation:

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4. Data pre-processing:

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5. Model training, testing and tuning:

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6. Conclusion and improvisation:

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